Research on Remote Measurement Method of Off-board Conductive Charger for Electric Vehicle Based on Bayes Theory

ZHOU Di; ZHENG Wen-bin; LI Lin-tong; WEI Ming-chen; QU Xi-song; ZHENG Hui-zeng

doi:10.3969/j.issn.1000-1158.2023.07.16

PDF(7323 KB)

Acta Metrologica Sinica ›› 2023, Vol. 44 ›› Issue (7) : 1107-1112. DOI: 10.3969/j.issn.1000-1158.2023.07.16

Research on Remote Measurement Method of Off-board Conductive Charger for Electric Vehicle Based on Bayes Theory

ZHOU Di¹,ZHENG Wen-bin²,LI Lin-tong¹,WEI Ming-chen²,QU Xi-song¹,ZHENG Hui-zeng¹

Author information +

History +

Abstract

It conducts analysis based on Bayesian theory. The evaluation method of measurement uncertainty for off-board conductive charger is studied. It is proposed of a remote measurement algorithm based on Bayesian method. This algorithm realizes quantity-value transfer based on mesh charging process data. The result of the algorithm is correct in actual experiment. The actual estimate is off by less than 3%. The validity of the algorithm in remote measurement of off-board conductive charger is verified.

Key words

metrology;off-board conductive charger / remote measurement / Bayes theory;

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

ZHOU Di,ZHENG Wen-bin,LI Lin-tong,WEI Ming-chen,QU Xi-song,ZHENG Hui-zeng. Research on Remote Measurement Method of Off-board Conductive Charger for Electric Vehicle Based on Bayes Theory[J]. Acta Metrologica Sinica. 2023, 44(7): 1107-1112 https://doi.org/10.3969/j.issn.1000-1158.2023.07.16

References

［1］纪红刚, 周凌. 电动汽车充电桩直流计量装置远程校验方法的研究［J］. 计量与测试技术, 2017, 44(6): 69-71.
Ji H G, Zhou L. A Research of Remote Calibration Methods for DC Metering of EV Charing Station［J］. Metrology & Measurement Technique, 2017, 44(6): 69-71.
［2］Chen Z R,Li F C,Xu X G,et al. Research on Remote Calibration System of DC Metering Device for Electric Vehicle Charging Piles Based on Embedded［C］//
2019 IEEE 3rd Information Technology,Networking,Electronic and Automation Control Conference,Jinan,China,2019.
［3］Yang L, Zhang D, Lin G, et al. Research on remote calibration and online monitoring system of electric energy metering device［J］. Journal of physics Conference series, 2019, 1303(1): 12119.
［4］Jebroni Z, Chadli H, Tidhaf B, et al. Design of a calibration board integrated in a Smart Electrical Energy Meter (hardware part)［C］//International Conference on Wireless Technologies. IEEE, 2017.
［5］Jebroni Z, Chadli H, Chadli E, et al. Remote calibration system of a smart electrical energy meter［J］. Journal of Electrical Systems, 2017, 13(4): 806-823.
［6］Liu F, He Q, Hu S, et al. Estimation of Smart Meters Errors Using Meter Reading Data［C］//2018 Conference on Precision Electromagnetic Measurements (CPEM 2018). 2018.
［7］朱银昕. 电动汽车充电站计量检定装置在线核查研究［D］. 长沙:湖南大学, 2019.
［8］Jiao Y, Li H, Hu C, et al. Data-Driven Evaluation for Error States of Standard Electricity Meters on Automatic Verification Assembly Line［J］. IEEE Transactions on Industrial Informatics, 2019, 15(9): 4999-5010.
［9］Chen S, Zhou D, Ye J, et al. A New Calibration Approach for Charging Facilities for Electric Vehicles via Machine Learning［C］//2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA). IEEE, 2020.
［10］陈蓝生. 基于云平台的充电桩虚拟智能计量检测与管理装置设计［J］. 计量学报, 2019, 40(S1): 116-121.
Chen L S. Design of Virtual Intelligent Measuring and Management Device for Charging Pile Based on Cloud Platform［J］. Acta Metrologica Sinica, 2019, 40(S1): 116-121.
［11］蔡常青, 王健, 陈杭杭, 等. 非自动衡器测量不确定度评估及其在符合性判定中的应用［J］. 计量学报, 2021, 42(1): 59-65.
Cai C Q, Wang J, Chen H H, et al. Measurement Uncertainty EvaIuation Of NOn-Automatic Weighing Instrument and its Application in Conformity Assessment ［J］. Acta Metrologica Sinica, 2021, 42(1): 59-65.
［12］张遥奇, 任昀, 李娅, 等. 一种纯水机内置在线监测仪表的现场校准方法［J］. 计量学报, 2020, 41(1): 115-120.
Zhang Y Q, Ren J, Li Y, et al. A Calibration Method for Inner Installed On-line Monitoring Instrument of Pure Water Machine ［J］. Acta Metrologica Sinica, 2020, 41(1): 115-120.
［13］Ferrero A, Prioli M, Salicone S. Conditional Random-Fuzzy Variables Representing Measurement Results［J］. IEEE Transactions on Instrumentation & Measurement, 2015, 64(5): 1170-1178.
［14］Salicone S, Prioli M. Measuring uncertainty within the theory of evidence［M］. Cham: Springer, 2018.
［15］Ferrero A, Salicone S. The random-fuzzy variables: a new approach to the expression of uncertainty in measurement［J］. IEEE Transactions on Instrumentation & Measurement, 2004, 53(5): 1370-1377.
［16］Ferrero A, Salicone S, Jetti H V. Bayesian approach to uncertainty evaluation: is it always working［C］//19th International Congress of Metrology (CIM2019). 2019.
［17］Harsha Vardhana J, Alessandro F, Simona S. A modified Bayes theorem for reliable conformity assessment in industrial metrology［J］. Measurement, 2021, 184: 109967-1.
［18］Kok G J, Veen A M H, Harris P M, et al. Bayesian analysis of a flowmeter calibration problem［J］. Metrologia, 2015, 52(2): 392-399.